Data Cleaning and Sorting | Data Imputation in R part 2.2
In this course you will learn, how to effectively apply and validate three of the most powerful imputation techniques.
:: To download Code script and exercise data
https://drive.google.com/file/d/0B_KY...
When information is unavailable for a cell location, the location will be assigned as NoData (NA) :
1. Model functions are MICE, missForest, and Hmisc
2. Data with multiple columns and attributes used in the exercise
3. Understand the main concept behind each method and how does it work 4. Learn the different options related to each method to make the maximum use of it
5. Validation data will be used to compare between the results to determine the best function for your data.
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